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Abstract:  This is an introductory talk on the analysis of neural networks.  Neural networks were first introduced in the 1950s as a primitive model of the brain and they remain central to machine learning.  I will describe some of the main analytic results of neural networks which help to explain mathematically the power of deep learning.  This talk will be accessible to a broad mathematical audience.